Re:Welcome to the Python Engineering blog
by Scarblac on Monday February 22, 2016 @03:27AM
(#11149382)
And when library X and unrelated library Y are wrapped, they often both use Numpy arrays, making them interoperable.
E.g. if you do geographical work with raster data, there is GDAL, a raster library with Python wrappers. Because it exposes the raster data as Numpy array, you can easily make images from them to overlay on maps with matplotlib, or analyze them using scipy. In C/C++ it would probably be a lot more hassle to combine them like that.
E.g. if you do geographical work with raster data, there is GDAL, a raster library with Python wrappers. Because it exposes the raster data as Numpy array, you can easily make images from them to overlay on maps with matplotlib, or analyze them using scipy. In C/C++ it would probably be a lot more hassle to combine them like that.